Name: Dr. Jon Belof
Type: User
Company: Lawrence Livermore National Laboratory
Bio: Develops multiscale, multiphysics, time-dependent models and HPC simulation codes for the advancement of the physical sciences.
Location: San Francisco, CA
Blog: http://people.llnl.gov/belof1
Dr. Jon Belof's Projects
Generate the 5D (translations/rotations) potential energy surface for quantum diagonalization
Generate the 6D (translations/rotations/vibration) potential energy surface for quantum diagonalization
Non-equilibrium toy model that demonstrates paradoxical behavior where a system runs in reverse
Efficiently computes derivatives of numpy code.
set of tools for numerical exploration of cellular automata
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Deep neural network architecture for interatomic potentials
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Super Resolution for images using deep learning.
Sharp Image Deblurring
Repository for Scale-recurrent Network for Deep Image Deblurring
tiny and basic chess engine for lua. Port of https://github.com/thomasahle/sunfish
PyTorch implementation of Super SloMo by Jiang et al.
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.